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[学术资料] 金融工程的统计和数据分析,以R语言为例 [推广有奖]

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Statistics and Data Analysis for Financial Engineering: with R examples
David Ruppert, David S. Matteson
Year: 2015
Edition: Second
Language: en
Pages: 736
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Statistics and Data Analysis for Financial Engineering
David Ruppert
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations,  
Year: 2010
Edition: 1st Edition.
Language: en
Pages: 660



Statistics and data analysis for financial engineering.rar (20.68 MB, 需要: 1 个论坛币) 本附件包括:
  • Statistics and Data Analysis for Financial Engineering with R examples.pdf
  • Statistics and Data Analysis for Financial Engineering.pdf
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关键词:数据分析 金融工程 R语言 统计和 computations

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louqiyue 学生认证  发表于 2017-10-17 09:59:42 来自手机 |只看作者 |坛友微信交流群
hetle 发表于 2017-10-17 09:53
Statistics and Data Analysis for Financial Engineering: with R examples
David Ruppert, David S. Mat ...
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